Add random laplace number and div_or_else function #155
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On branch feature/random-fenerators
Changes to be committed:
new file: quinn/math.py
Related to #88
I have no idea how to test generation of random numbers without installing
numpy
. But I made few local tests and looks like it works.There is the result of
![laplace_m5_4](https://private-user-images.githubusercontent.com/29755009/284735265-06f56fde-31a1-4832-ae4d-6df6f0e822f0.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.GVB8AC8lDlDxIyOF6QX15GhVDzjTZInl6bVfDOfAIi4)
rand_laplace(mu=-5, beta=4)
:There is the result of
![laplace_1_2](https://private-user-images.githubusercontent.com/29755009/284735708-e23ffbb4-1e5f-4804-a9d4-ce043f445959.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.Q4jUPeHrsVDqIaV4BzRDj9zOLVSigGQ7fTW0Xk_ifGE)
rand_laplace(mu=1, beta=2)
:And there is how it should look like based on Wiki:
![image](https://private-user-images.githubusercontent.com/29755009/284735383-5bb6e303-6aee-46d3-8748-72b2c353c627.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.r-5HlwtnEUo0vRwOcxTWUSa-PPZczdtAQ2pRhmYkuy8)
One can see that distribution is correct. Also negative mu is processed correctly too.